SYSTEMS AND METHODS FOR CONTEXTUAL HIGHLIGHTING OF A DOCUMENT

1 . A computer-implemented method for performing contextual highlighting of a document at a client computing device, comprising:

receiving, via an electronic network, a response including highlighting data: (i) including a search term generated by a machine learning algorithm and (ii) corresponding to the document;

in response to receiving the response, evaluating the highlighting data including the search term generated by the machine learning algorithm to generate a highlighting model corresponding to the document by indicating one or more words to be displayed as highlighted;

storing, in a local memory cache, the highlighting model and a document model corresponding to the document;

retrieving, in response to an event caused by a user of the client computing device selecting the document, the highlighting model and the document model from the local memory cache including retrieving the document model;

analyzing the document model using the highlighting model to determine a highlighting portion of the document model; and

displaying, in a viewport of a graphical user interface of the client computing device, a rendering of the document model including highlighting on the highlighting portion.

2 . The computer-implemented method of claim 1 , wherein displaying the rendering of the document model further includes displaying metadata of the document.

3 . The computer-implemented method of claim 1 , wherein displaying the rendering of the document model includes applying the highlighting only to a visible portion of the highlighting portion.

4 . The computer-implemented method of claim 1 , further comprising:

receiving a selection of a color; and

wherein highlighting in the highlighted portion of the document model is made in the selected color.

5 . The computer-implemented method of claim 1 , wherein displaying the rendering of the document model includes highlighting the highlighted portion in a black color to thereby redact the highlighted portion.

6 . The computer-implemented method of claim 1 , wherein the analyzing the document model using the highlighting model to determine the highlighting portion of the document model includes determining the highlighting portion to include a synonym of the search term.

7 . The computer-implemented method of claim 1 , wherein the analyzing the document model using the highlighting model to determine the highlighting portion of the document model includes determining the highlighting portion to include a translation of the search term into a different language.

8 . The computer-implemented method of claim 1 , wherein the machine learning algorithm comprises gradient boosting.

9 . The computer-implemented method of claim 1 , wherein the machine learning algorithm comprises support vector machines.

10 . A client computing device for performing contextual highlighting of a document, the client computing device comprising one or more processors, the one or more processors configured to:

receive, via an electronic network, a response including highlighting data: (i) including a search term generated by a machine learning algorithm and (ii) corresponding to the document;

in response to receiving the response, evaluate the highlighting data including the search term generated by the machine learning algorithm to generate a highlighting model corresponding to the document by indicating one or more words to be displayed as highlighted;

store, in a local memory cache, the highlighting model and a document model corresponding to the document;

retrieve, in response to an event caused by a user of the client computing device selecting the document, the highlighting model and the document model from the local memory cache including retrieving the document model;

analyze the document model using the highlighting model to determine a highlighting portion of the document model; and

display, in a viewport of a graphical user interface of the client computing device, a rendering of the document model including highlighting on the highlighting portion.

11 . The client computing device of claim 10 , wherein the display of the rendering of the document model further includes displaying metadata of the document.

12 . The client computing device of claim 10 , wherein the display of the rendering of the document model includes applying the highlighting only to a visible portion of the highlighting portion.

13 . The client computing device of claim 10 , wherein the one or more processors are further configured to:

receive a selection of a color; and

highlight the highlighted portion of the document model in the selected color.

14 . The client computing device of claim 10 , wherein the display of the rendering of the document model includes highlighting the highlighted portion in a black color to thereby redact the highlighted portion.

15 . The client computing device of claim 10 , wherein the analysis of the document model using the highlighting model to determine the highlighting portion of the document model includes determining the highlighting portion to include a synonym of the search term.

16 . The client computing device of claim 10 , wherein the analysis of the document model using the highlighting model to determine the highlighting portion of the document model includes determining the highlighting portion to include a translation of the search term into a different language.

17 . A computer-implemented method for performing contextual redaction of a document at a client computing device, comprising:

receiving, via an electronic network, a response including redaction data: (i) including a search term generated by a machine learning algorithm and (ii) corresponding to the document;

in response to receiving the response, evaluating the redaction data including the search term generated by the machine learning algorithm to generate a redaction model corresponding to the document by indicating one or more words to be displayed as highlighted;

storing, in a local memory cache, the redaction model and a document model corresponding to the document;

retrieving, in response to an event caused by a user of the client computing device selecting the document, the redaction model and the document model from the local memory cache including retrieving the document model;

analyzing the document model using the redaction model to determine a redaction portion of the document model; and

displaying, in a viewport of a graphical user interface of the client computing device, the entire determined redaction portion of the document model in a solid color.

18 . The computer-implemented method of claim 17 , further comprising:

receiving a selection of a color; and

setting the solid color to be the selected color.

19 . The computer-implemented method of claim 17 , wherein the machine learning algorithm comprises gradient boosting.

20 . The computer-implemented method of claim 17 , wherein the machine learning algorithm comprises support vector machines.